Rahul Manavalan's repositories
FullWaveformInversion.jl
Full Waveform Inversion using Neural Operators
dynamic-queries.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
BSeries.jl
Computing with B-series in Julia
CloudMicrophysics.jl
A library of cloud microphysics parameterizations
DFTK.jl
Density-functional toolkit
DistributedSparseGrids.jl
An hierarchical adaptive sparse-grid implementation in the julia language
FastSolvers.jl
Fast solvers in Julia
GaussianProcessHydrodynamics.jl
A Julia implementation of Gaussian Process Hydrodynamics
lineax
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
MachineLearningPotentials.jl
Machine Learning Potentials for Molecular dynamics simulations
TrajectoryPotentials.jl
Inference models for Interatomic Potentials from MD-Trajectories.
WaveformInversion.jl
A julia package for robust waveform inversion.
WaveformRelaxation.jl
A julia package for parallel in time integration of differential equations.
IncompressibleNavierStokes.jl
Incompressible Navier-Stokes solver
LowRankIntegrators.jl
Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank decomposition.
Oceananigans.jl
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
PDESystemLibrary.jl
A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia
PotentialLearning.jl
An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and high-performance computing.
ProbNumDiffEq.jl
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
RandomFeatures.jl
Modular random feature approximation in Julia
StochasticDiffEq.jl
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
TimeSeriesDerivatives.jl
First Order derivatives of noisy data.
WAVI.jl
WAVI ice sheet model